Solution Architect (projekt VIDRU)

We are delivering a multi-year programme to transform fragmented legacy discovery data into a harmonised, AI-ready and FAIR-enabled data foundation supporting seven scientific data workflows across vaccines and infectious disease research. The programme is delivered through multiple parallel value streams supported by a shared technical capability stream.

• Proven experience as a Solution Architect delivering technology solutions in pharma, biotech, or life sciences R&D environments.
• Strong understanding of scientific/discovery data workflows and ability to engage directly with scientists and research teams.
• Proven experience designing data mesh and/or data product architectures.
• Deep, hands-on experience with Microsoft Azure and Databricks, including lakehouse and Delta architectures.
• Experience integrating ELN, LIMS, laboratory systems, sample management/inventory solutions, and scientific instruments.
• Strong knowledge of metadata management, semantic modelling, data lineage, and data standards.
• Practical experience applying FAIR principles and data governance.
• Experience with structured and unstructured scientific data including large-volume instrument data.
• Understanding of AI/ML data enablement suitable for machine learning and downstream AI applications.
• Experience working in regulated life sciences environments and understanding distinctions between GxP and non-GxP research.
• Strong stakeholder management and ability to influence across a matrix without direct authority.
• Ability to communicate and translate complex requirements among scientific, business, and technical discussions.
• Strong English communication skills.

• Define and maintain the end-to-end target architecture across scientific data workflows.
• Design data mesh and data product architectures including ownership, data contracts, quality expectations, and lifecycle management.
• Design cloud data solutions using Microsoft Azure and Databricks, including lakehouse/Delta architectures, data pipelines, secure networking, secrets management, and observability.
• Define integration architectures connecting ELN, LIMS, sample inventory systems, and scientific instruments with governed data platforms.
• Architect solutions for both structured and unstructured scientific data, including high-volume instrument outputs, provenance, and schema evolution.
• Define metadata models, naming conventions, identifier strategies, and data lineage.
• Operationalise FAIR data principles, supporting cataloguing, discoverability, stewardship, and appropriate access models.
• Ensure scientific data supports AI/ML use cases including training and feature pipelines and machine-accessible interfaces.
• Define and promote architectural standards while maintaining flexibility for exploratory research environments.
• Apply data integrity and regulatory controls across GxP and non-GxP R&D environments.
• Collaborate with scientists and research teams to translate assay and experimental workflows into technical solutions.
• Align scientific leads, business SMEs, and technology functions in a matrix environment.
• Review solution designs and implementation quality and provide architectural guidance throughout delivery.

Treść obowiązku informacyjnego z art. 13 RODO dla kandydatów biorących udział w rekrutacji. Administrator danych osobowych to Link Group Sp. z o.o. z siedzibą w Warszawie. Dane przetwarzane są w celu przeprowadzenia rekrutacji i mogą być przetwarzane zgodnie z określonymi podstawami prawnymi, w tym zgodą kandydata. Kandydat ma prawo dostępu, poprawiania, usunięcia danych, ograniczenia przetwarzania oraz sprzeciwu wobec przetwarzania danych. Dane mogą być przekazane poza Europejski Obszar Gospodarczy na podstawie prawnej przewidzianej w RODO. Szczegóły w tekście oferty.